Statistical testing and power analysis for brain-wide association study. - Weikang Gong; Lin Wan; Wenlian Lu; Liang Ma; Fan Cheng 003; Wei Cheng 002; Stefan Grünewald; Jianfeng Feng (Medical Image Anal., 2018)

Structured sparse K-means clustering via Laplacian smoothing. - Weikang Gong; Renbo Zhao; Stefan Grünewald (Pattern Recognit. Lett., 2018)

Transfer Learning Models on Brain Age Prediction. - Yanhao Ren; Qiang Luo; Weikang Gong; Wenlian Lu (ISICDM, 2019)

Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. - Zhaowen Liu; Edmund T. Rolls; Zhi Liu 004; Kai Zhang 001; Ming Yang; Jingnan Du; Weikang Gong; Wei Cheng 002; Fei Dai; He Wang 016; Kâmil Ugurbil; Jie Zhang 012; et al. (Bioinform., 2019)

DM-RPIs: Predicting ncRNA-protein interactions using stacked ensembling strategy. - Shuping Cheng; Lu Zhang; Jianjun Tan; Weikang Gong; Chunhua Li 001; Xiaoyi Zhang (Comput. Biol. Chem., 2019)

A powerful and efficient multivariate approach for voxel-level connectome-wide association studies. - Weikang Gong; Fan Cheng 003; Edmund T. Rolls; Chun-Yi Zac Lo; Chu-Chung Huang; Shih-Jen Tsai; Albert C. Yang; Ching-Po Lin; Jianfeng Feng (NeuroImage, 2019)

Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification. - Zhen Yang; Xueqing Deng; Yang Liu; Weikang Gong; Chunhua Li 001 (BMC Bioinform., 2020)

aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks. - Yang Liu; Weikang Gong; Yanpeng Zhao; Xueqing Deng; Shan Zhang; Chunhua Li 001 (Bioinform., 2021)

EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA-protein interaction prediction. - Jingjing Wang; Yanpeng Zhao; Weikang Gong; Yang Liu; Mei Wang; Xiaoqian Huang; Jianjun Tan (BMC Bioinform., 2021)

Equally Weighted Multiscale Elastic Network Model and Its Comparison with Traditional and Parameter-Free Models. - Weikang Gong; Yang Liu; Yanpeng Zhao; Shihao Wang; Zhongjie Han; Chunhua Li 001 (J. Chem. Inf. Model., 2021)

Phenotype discovery from population brain imaging. - Weikang Gong; Christian F. Beckmann; Stephen M. Smith 001 (Medical Image Anal., 2021)

Accurate brain age prediction with lightweight deep neural networks. - Han Peng; Weikang Gong; Christian F. Beckmann; Andrea Vedaldi; Stephen M. Smith 001 (Medical Image Anal., 2021)

Hierarchical modelling of functional brain networks in population and individuals from big fMRI data. - Seyedeh-Rezvan Farahibozorg; Janine D. Bijsterbosch; Weikang Gong; Saâd Jbabdi; Stephen M. Smith 001; Samuel J. Harrison; Mark W. Woolrich (NeuroImage, 2021)

Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age. - Lu Zhang; Jiajia Zhao; Qunjie Zhou; Zhaowen Liu; Yi Zhang; Wei Cheng 002; Weikang Gong; Xiaoping Hu; Wenlian Lu; Edward T. Bullmore; Chun-Yi Zac Lo; Jianfeng Feng (NeuroImage, 2021)

Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation. - Weikang Gong; Junjie Wee; Min-Chun Wu; Xiaohan Sun; Chunhua Li 001; Kelin Xia (Briefings Bioinform., 2022)

An ensemble approach to predict binding hotspots in protein-RNA interactions based on SMOTE data balancing and Random Grouping feature selection strategies. - Tong Zhou 013; Jie Rong; Yang Liu; Weikang Gong; Chunhua Li 001 (Bioinform., 2022)

Key Residues in δ Opioid Receptor Allostery Explored by the Elastic Network Model and the Complex Network Model Combined with the Perturbation Method. - Lei Chen; Weikang Gong; Zhongjie Han; Wenxue Zhou; Shuang Yang; Chunhua Li 001 (J. Chem. Inf. Model., 2022)

A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies. - Zeyu Jiao; Yinglei Lai; Jujiao Kang; Weikang Gong; Liang Ma; Tianye Jia; Chao Xie; Shitong Xiang; Wei Cheng 002; Andreas Heinz; Sylvane Desrivières; Gunter Schumann; et al. (NeuroImage, 2022)

Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner. - Ying-Qiu Zheng; Seyedeh-Rezvan Farahibozorg; Weikang Gong; Hossein Rafipoor; Saâd Jbabdi; Stephen M. Smith 001 (NeuroImage, 2022)

Pyramid Feature Aggregation for Hierarchical Quality Prediction of Stitched Panoramic Images. - Yu Zhou 009; Weikang Gong; Yanjing Sun; Leida Li; Jinjian Wu; Xinbo Gao 001 (IEEE Trans. Multim., 2023)

Identification of metal ion-binding sites in RNA structures using deep learning method. - Yanpeng Zhao; Jingjing Wang; Fubin Chang; Weikang Gong; Yang Liu; Chunhua Li 001 (Briefings Bioinform., 2023)

Supervised Phenotype Discovery From Multimodal Brain Imaging. - Weikang Gong; Song Bai 001; Ying-Qiu Zheng; Stephen M. Smith 001; Christian F. Beckmann (IEEE Trans. Medical Imaging, 2023)

emPDBA: protein-DNA binding affinity prediction by combining features from binding partners and interface learned with ensemble regression model. - Shuang Yang; Weikang Gong; Tong Zhou 013; Xiaohan Sun; Lei Chen; Wenxue Zhou; Chunhua Li 001 (Briefings Bioinform., 2023)

Quality Assessment for Stitched Panoramic Images via Patch Registration and Bidimensional Feature Aggregation. - Yu Zhou 009; Weikang Gong; Yanjing Sun; Leida Li; Ke Gu 001; Jinjian Wu (IEEE Trans. Multim., 2024)

scValue: value-based subsampling of large-scale single-cell transcriptomic data for machine and deep learning tasks. - Li Huang; Weikang Gong; Dongsheng Chen (Briefings Bioinform., 2025)

DecoFuse: Decomposing and Fusing the "What", "Where", and "How" for Brain-Inspired fMRI-to-Video Decoding. - Chong Li 007; Jingyang Huo; Weikang Gong; Yanwei Fu 001; Xiangyang Xue 001; Jianfeng Feng (CoRR, 2025)